From Evolution to Empowerment: A Holistic Framework for Menopause Management

No

13 Pages Posted: 4 Nov 2024 Last revised: 16 Nov 2024

Date Written: October 31, 2024

Abstract

This study posits that menopause, traditionally viewed as a biological milestone marking the end of a woman's reproductive cycle, is, in fact, a physiological adaptation influenced by the cultural and social developments aimed at fostering cohesion within human societies. Unlike other species, menopause is experienced primarily by humans and a select few highly intelligent species with complex social structures, lending further credibility to this hypothesis.

By integrating theories on the prevalence of higher female populations, matriarchal societies, the shift to monogamous relationships, voluntary withdrawal from reproduction, and their subconscious impact on women, this study delves into the biological and physiological transitions accompanying menopause. This includes changes such as reduced estrogen levels (potentially influenced by decreased sexual activity and low DHEA levels) and visceral fat accumulation as adaptive survival strategies.

The study also presents a holistic, multilayered approach that targets menopausal symptom management through neuroplasticity and subconscious mind reprogramming (ancestral healing, karmic imprint work, inner-child healing). This interdisciplinary framework not only broadens the understanding of menopause but also explores its potential to extend fertility. Future research should investigate the capacity of neuroplasticity to alter these evolutionary adaptations, offering promising pathways for women's health and wellbeing.

Keywords: Menopause, Evolutionary Adaptation, Subconscious Reprogramming, Ancestral Healing, Holistic Health, and Neuroplasticity

Suggested Citation

Mitra, Sarmistha, From Evolution to Empowerment: A Holistic Framework for Menopause Management (October 31, 2024). Available at SSRN: https://ssrn.com/abstract=5005927

Sarmistha Mitra (Contact Author)

The Wellbeing Sanctuary

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